[
https://issues.apache.org/jira/browse/FLINK-15238?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
xiaojin.wy updated FLINK-15238:
-------------------------------
Description:
*The table and the query is like this:*
CREATE TABLE `scott_emp` (
> empno INT,
> ename VARCHAR,
> job VARCHAR,
> mgr INT,
> hiredate DATE,
> sal DOUBLE,
> comm DOUBLE,
> deptno INT
> ) WITH (
> 'format.field-delimiter'='|',
> 'connector.type'='filesystem',
> 'format.derive-schema'='true',
> 'connector.path'='/defender_test_data/daily_regression_blink_sql_1.10/test_scalar/sources/scott_emp.csv',
> 'format.type'='csv'
> );
CREATE TABLE `scott_dept` (
> deptno INT,
> dname VARCHAR,
> loc VARCHAR
> ) WITH (
> 'format.field-delimiter'='|',
> 'connector.type'='filesystem',
> 'format.derive-schema'='true',
> 'connector.path'='/defender_test_data/daily_regression_blink_sql_1.10/test_scalar/sources/scott_dept.csv',
> 'format.type'='csv'
> );
select deptno, (select empno from scott_emp order by empno limit 1) as x from
scott_dept;
*After execution the sql, the exception will appear:*
[ERROR] Could not execute SQL statement. Reason:
org.apache.flink.table.api.TableException: Cannot generate a valid execution
plan for the given query:
LogicalProject(deptno=[$0], x=[$3])
LogicalJoin(condition=[true], joinType=[left])
LogicalTableScan(table=[[default_catalog, default_database, scott_dept]])
LogicalSort(sort0=[$0], dir0=[ASC], fetch=[1])
LogicalProject(empno=[$0])
LogicalTableScan(table=[[default_catalog, default_database, scott_emp]])
This exception indicates that the query uses an unsupported SQL feature.
Please check the documentation for the set of currently supported SQL features.
*The whole exception is:*
Caused by: org.apache.flink.table.api.TableException: Cannot generate a valid
execution plan for the given query:Caused by:
org.apache.flink.table.api.TableException: Cannot generate a valid execution
plan for the given query:
LogicalProject(deptno=[$0], x=[$3]) LogicalJoin(condition=[true],
joinType=[left]) LogicalTableScan(table=[[default_catalog, default_database,
scott_dept]]) LogicalSort(sort0=[$0], dir0=[ASC], fetch=[1])
LogicalProject(empno=[$0]) LogicalTableScan(table=[[default_catalog,
default_database, scott_emp]])
This exception indicates that the query uses an unsupported SQL feature.Please
check the documentation for the set of currently supported SQL features. at
org.apache.flink.table.plan.Optimizer.runVolcanoPlanner(Optimizer.scala:284) at
org.apache.flink.table.plan.Optimizer.optimizeLogicalPlan(Optimizer.scala:199)
at
org.apache.flink.table.plan.StreamOptimizer.optimize(StreamOptimizer.scala:66)
at
org.apache.flink.table.planner.StreamPlanner.translateToType(StreamPlanner.scala:389)
at
org.apache.flink.table.planner.StreamPlanner.writeToRetractSink(StreamPlanner.scala:308)
at
org.apache.flink.table.planner.StreamPlanner.org$apache$flink$table$planner$StreamPlanner$$writeToSink(StreamPlanner.scala:272)
at
org.apache.flink.table.planner.StreamPlanner$$anonfun$2.apply(StreamPlanner.scala:166)
at
org.apache.flink.table.planner.StreamPlanner$$anonfun$2.apply(StreamPlanner.scala:145)
at scala.Option.map(Option.scala:146) at
org.apache.flink.table.planner.StreamPlanner.org$apache$flink$table$planner$StreamPlanner$$translate(StreamPlanner.scala:145)
at
org.apache.flink.table.planner.StreamPlanner$$anonfun$translate$1.apply(StreamPlanner.scala:117)
at
org.apache.flink.table.planner.StreamPlanner$$anonfun$translate$1.apply(StreamPlanner.scala:117)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.Iterator$class.foreach(Iterator.scala:891) at
scala.collection.AbstractIterator.foreach(Iterator.scala:1334) at
scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at
scala.collection.AbstractIterable.foreach(Iterable.scala:54) at
scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at
scala.collection.AbstractTraversable.map(Traversable.scala:104) at
org.apache.flink.table.planner.StreamPlanner.translate(StreamPlanner.scala:117)
at
org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:680)
at
org.apache.flink.table.api.internal.TableEnvironmentImpl.insertIntoInternal(TableEnvironmentImpl.java:353)
at
org.apache.flink.table.api.internal.TableEnvironmentImpl.insertInto(TableEnvironmentImpl.java:341)
at
org.apache.flink.table.api.internal.TableImpl.insertInto(TableImpl.java:428) at
org.apache.flink.table.client.gateway.local.LocalExecutor.lambda$executeQueryInternal$12(LocalExecutor.java:640)
at
org.apache.flink.table.client.gateway.local.ExecutionContext.wrapClassLoader(ExecutionContext.java:227)
at
org.apache.flink.table.client.gateway.local.LocalExecutor.executeQueryInternal(LocalExecutor.java:638)
... 8 more
was:
The table and the query is like this:
CREATE TABLE `scott_emp` (CREATE TABLE `scott_emp` ( empno INT, ename VARCHAR,
job VARCHAR, mgr INT, hiredate DATE, sal DOUBLE, comm DOUBLE, deptno INT) WITH
( 'format.field-delimiter'='|', 'connector.type'='filesystem',
'format.derive-schema'='true',
'connector.path'='hdfs://zthdev/defender_test_data/daily_regression_blink_sql_1.10/test_scalar/sources/scott_emp.csv',
'format.type'='csv');
After execution the sql, the exception will appear:
[ERROR] Could not execute SQL statement. Reason:
org.apache.flink.table.api.TableException: Cannot generate a valid execution
plan for the given query:
LogicalProject(deptno=[$0], x=[$3])
LogicalJoin(condition=[true], joinType=[left])
LogicalTableScan(table=[[default_catalog, default_database, scott_dept]])
LogicalSort(sort0=[$0], dir0=[ASC], fetch=[1])
LogicalProject(empno=[$0])
LogicalTableScan(table=[[default_catalog, default_database, scott_emp]])
This exception indicates that the query uses an unsupported SQL feature.
Please check the documentation for the set of currently supported SQL features.
The whole exception is:
Caused by: org.apache.flink.table.api.TableException: Cannot generate a valid
execution plan for the given query:Caused by:
org.apache.flink.table.api.TableException: Cannot generate a valid execution
plan for the given query:
LogicalProject(deptno=[$0], x=[$3]) LogicalJoin(condition=[true],
joinType=[left]) LogicalTableScan(table=[[default_catalog, default_database,
scott_dept]]) LogicalSort(sort0=[$0], dir0=[ASC], fetch=[1])
LogicalProject(empno=[$0]) LogicalTableScan(table=[[default_catalog,
default_database, scott_emp]])
This exception indicates that the query uses an unsupported SQL feature.Please
check the documentation for the set of currently supported SQL features. at
org.apache.flink.table.plan.Optimizer.runVolcanoPlanner(Optimizer.scala:284) at
org.apache.flink.table.plan.Optimizer.optimizeLogicalPlan(Optimizer.scala:199)
at
org.apache.flink.table.plan.StreamOptimizer.optimize(StreamOptimizer.scala:66)
at
org.apache.flink.table.planner.StreamPlanner.translateToType(StreamPlanner.scala:389)
at
org.apache.flink.table.planner.StreamPlanner.writeToRetractSink(StreamPlanner.scala:308)
at
org.apache.flink.table.planner.StreamPlanner.org$apache$flink$table$planner$StreamPlanner$$writeToSink(StreamPlanner.scala:272)
at
org.apache.flink.table.planner.StreamPlanner$$anonfun$2.apply(StreamPlanner.scala:166)
at
org.apache.flink.table.planner.StreamPlanner$$anonfun$2.apply(StreamPlanner.scala:145)
at scala.Option.map(Option.scala:146) at
org.apache.flink.table.planner.StreamPlanner.org$apache$flink$table$planner$StreamPlanner$$translate(StreamPlanner.scala:145)
at
org.apache.flink.table.planner.StreamPlanner$$anonfun$translate$1.apply(StreamPlanner.scala:117)
at
org.apache.flink.table.planner.StreamPlanner$$anonfun$translate$1.apply(StreamPlanner.scala:117)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.Iterator$class.foreach(Iterator.scala:891) at
scala.collection.AbstractIterator.foreach(Iterator.scala:1334) at
scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at
scala.collection.AbstractIterable.foreach(Iterable.scala:54) at
scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at
scala.collection.AbstractTraversable.map(Traversable.scala:104) at
org.apache.flink.table.planner.StreamPlanner.translate(StreamPlanner.scala:117)
at
org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:680)
at
org.apache.flink.table.api.internal.TableEnvironmentImpl.insertIntoInternal(TableEnvironmentImpl.java:353)
at
org.apache.flink.table.api.internal.TableEnvironmentImpl.insertInto(TableEnvironmentImpl.java:341)
at
org.apache.flink.table.api.internal.TableImpl.insertInto(TableImpl.java:428) at
org.apache.flink.table.client.gateway.local.LocalExecutor.lambda$executeQueryInternal$12(LocalExecutor.java:640)
at
org.apache.flink.table.client.gateway.local.ExecutionContext.wrapClassLoader(ExecutionContext.java:227)
at
org.apache.flink.table.client.gateway.local.LocalExecutor.executeQueryInternal(LocalExecutor.java:638)
... 8 more
> A sql can't generate a valid execution plan
> -------------------------------------------
>
> Key: FLINK-15238
> URL: https://issues.apache.org/jira/browse/FLINK-15238
> Project: Flink
> Issue Type: Bug
> Components: Table SQL / Client
> Affects Versions: 1.10.0
> Reporter: xiaojin.wy
> Priority: Major
>
> *The table and the query is like this:*
> CREATE TABLE `scott_emp` (
> > empno INT,
> > ename VARCHAR,
> > job VARCHAR,
> > mgr INT,
> > hiredate DATE,
> > sal DOUBLE,
> > comm DOUBLE,
> > deptno INT
> > ) WITH (
> > 'format.field-delimiter'='|',
> > 'connector.type'='filesystem',
> > 'format.derive-schema'='true',
> > 'connector.path'='/defender_test_data/daily_regression_blink_sql_1.10/test_scalar/sources/scott_emp.csv',
> > 'format.type'='csv'
> > );
> CREATE TABLE `scott_dept` (
> > deptno INT,
> > dname VARCHAR,
> > loc VARCHAR
> > ) WITH (
> > 'format.field-delimiter'='|',
> > 'connector.type'='filesystem',
> > 'format.derive-schema'='true',
> > 'connector.path'='/defender_test_data/daily_regression_blink_sql_1.10/test_scalar/sources/scott_dept.csv',
> > 'format.type'='csv'
> > );
> select deptno, (select empno from scott_emp order by empno limit 1) as x from
> scott_dept;
>
>
> *After execution the sql, the exception will appear:*
> [ERROR] Could not execute SQL statement. Reason:
> org.apache.flink.table.api.TableException: Cannot generate a valid execution
> plan for the given query:
> LogicalProject(deptno=[$0], x=[$3])
> LogicalJoin(condition=[true], joinType=[left])
> LogicalTableScan(table=[[default_catalog, default_database, scott_dept]])
> LogicalSort(sort0=[$0], dir0=[ASC], fetch=[1])
> LogicalProject(empno=[$0])
> LogicalTableScan(table=[[default_catalog, default_database, scott_emp]])
> This exception indicates that the query uses an unsupported SQL feature.
> Please check the documentation for the set of currently supported SQL
> features.
>
>
> *The whole exception is:*
> Caused by: org.apache.flink.table.api.TableException: Cannot generate a valid
> execution plan for the given query:Caused by:
> org.apache.flink.table.api.TableException: Cannot generate a valid execution
> plan for the given query:
> LogicalProject(deptno=[$0], x=[$3]) LogicalJoin(condition=[true],
> joinType=[left]) LogicalTableScan(table=[[default_catalog,
> default_database, scott_dept]]) LogicalSort(sort0=[$0], dir0=[ASC],
> fetch=[1]) LogicalProject(empno=[$0])
> LogicalTableScan(table=[[default_catalog, default_database, scott_emp]])
> This exception indicates that the query uses an unsupported SQL
> feature.Please check the documentation for the set of currently supported SQL
> features. at
> org.apache.flink.table.plan.Optimizer.runVolcanoPlanner(Optimizer.scala:284)
> at
> org.apache.flink.table.plan.Optimizer.optimizeLogicalPlan(Optimizer.scala:199)
> at
> org.apache.flink.table.plan.StreamOptimizer.optimize(StreamOptimizer.scala:66)
> at
> org.apache.flink.table.planner.StreamPlanner.translateToType(StreamPlanner.scala:389)
> at
> org.apache.flink.table.planner.StreamPlanner.writeToRetractSink(StreamPlanner.scala:308)
> at
> org.apache.flink.table.planner.StreamPlanner.org$apache$flink$table$planner$StreamPlanner$$writeToSink(StreamPlanner.scala:272)
> at
> org.apache.flink.table.planner.StreamPlanner$$anonfun$2.apply(StreamPlanner.scala:166)
> at
> org.apache.flink.table.planner.StreamPlanner$$anonfun$2.apply(StreamPlanner.scala:145)
> at scala.Option.map(Option.scala:146) at
> org.apache.flink.table.planner.StreamPlanner.org$apache$flink$table$planner$StreamPlanner$$translate(StreamPlanner.scala:145)
> at
> org.apache.flink.table.planner.StreamPlanner$$anonfun$translate$1.apply(StreamPlanner.scala:117)
> at
> org.apache.flink.table.planner.StreamPlanner$$anonfun$translate$1.apply(StreamPlanner.scala:117)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.Iterator$class.foreach(Iterator.scala:891) at
> scala.collection.AbstractIterator.foreach(Iterator.scala:1334) at
> scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at
> scala.collection.AbstractIterable.foreach(Iterable.scala:54) at
> scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at
> scala.collection.AbstractTraversable.map(Traversable.scala:104) at
> org.apache.flink.table.planner.StreamPlanner.translate(StreamPlanner.scala:117)
> at
> org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:680)
> at
> org.apache.flink.table.api.internal.TableEnvironmentImpl.insertIntoInternal(TableEnvironmentImpl.java:353)
> at
> org.apache.flink.table.api.internal.TableEnvironmentImpl.insertInto(TableEnvironmentImpl.java:341)
> at
> org.apache.flink.table.api.internal.TableImpl.insertInto(TableImpl.java:428)
> at
> org.apache.flink.table.client.gateway.local.LocalExecutor.lambda$executeQueryInternal$12(LocalExecutor.java:640)
> at
> org.apache.flink.table.client.gateway.local.ExecutionContext.wrapClassLoader(ExecutionContext.java:227)
> at
> org.apache.flink.table.client.gateway.local.LocalExecutor.executeQueryInternal(LocalExecutor.java:638)
> ... 8 more
--
This message was sent by Atlassian Jira
(v8.3.4#803005)